Monitoring wheat yield and production is essential for ensuring global food security. Remote sensing can be used to achieve it due to its ability to provide global, comprehensive, synoptic, and repetitive information in near real-time. This study used the 2006–2016 Normalized Difference Vegetation Index (NVDI) and Enhanced Vegetation Index 2 (EVI2) time series at a 250 m spatial resolution and 2006–2011 MERIS Terrestrial Chlorophyll Index (MTCI) time series at a 300 m spatial resolution. The post-maximum period for pixels containing wheat was selected based on the EU’s Common Agrarian Policy (CAP) and Corine Land Cover (CLC) data. It was correlated with yield and production values from governmental statistics (GS) of the largest Nomenclature of Territorial Units for Statistics level 2 (NUTS-2) wheat producers in Spain and for Spain overall. The selection of wheat masks was crucial for the accuracy of the models, with CAP masks offering greater forecasting capability. Models using CLC produced R2 values between 0.45 and 0.7, while those using CAP outperformed the former with R2 values of 0.9 throughout Spain. Production models outperformed yield models, and MTCI was the vegetation index (VI) that provided the greatest R2 value of 0.94. However, model accuracy was heavily conditioned by the precision of input data, where anomalies were detected in some NUTS-2.
29 August 2018 in Journal of Geography in Higher Education
The use of alternative teaching methods to lectures is one of the keys to develop a more participatory and effective education. In the teaching of Geography, greater interaction of students with elements of the landscape through the active use of photography could be one of the ways to achieve this efficiency. This article describes an experiment conducted in 2016 with students of the subject Physical Geography of the Iberian Peninsula. Two different teaching methodologies were applied to two groups of students. The first one was based on dividing the time of each class between participatory comments of landscape photographs and imparting theoretical knowledge through lectures. The second methodology consisted only of lectures, following a more traditional approach. Additionally, some students from the first group actively participated by uploading and tagging their own field pictures to a photographic repository of the University of Seville. The effectiveness of the different activities in each group was assessed through four tests, performed monthly. The results indicate that the use of landscape photographs as a participative teaching resource allows a more efficient learning of theoretical concepts. Therefore, the proposed methodology should be considered by those interested in improving the quality and effectiveness of their teaching of Geography.
En este artículo se estima el comportamiento futuro del nivel medio del mar en las Islas Canarias a partir de registros locales procedentes de mareógrafos y satélites altimétricos (con información sobre el comportamiento reciente del nivel del mar en la superficie marina). La metodología empleada consiste en realizar un análisis de regresión lineal entre dichos registros locales recientes y una serie global correspondiente al mismo periodo temporal, identificando en cada una de las rectas de regresión lineal correspondiente los valores referidos a tres escenarios futuros del IPCC, que indican las expectativas locales de cambio del nivel del mar tanto en los mareógrafos como en la superficie marina. Los resultados obtenidos muestran que se producirán subidas generalizadas del nivel medio del mar en todo el área de estudio. En dos de los mareógrafos analizados y en la mayor parte de las aguas canarias se producirán subidas por encima de las expectativas del IPCC, mientras que en el tercer mareógrafo, en Lanzarote, los resultados indican ascensos del nivel del mar inferiores a las predicciones globales para el final del siglo XXI.
This paper deals with the application of satellite images to characterize some aspects of the circulation dynamics of the Tinto-Odiel estuary using turbidity patterns as ‘natural tracers’. 15 images (Landsat TM and Spot HRV) were processed to provide synoptic, instantaneous views of the circulation patterns under different environmental conditions. In addition, a comparison was made between results of oceanographic field work, using biplanes and fluorescent tracers, and satellite image turbidity patterns used as ‘ground truth’ data for specific hydroclimatic situations. This approach allowed (1) the identification and mapping of dynamic processes of interest during a theoretical tidal cycle, (2) the elaboration of additional information on the ‘flow schemes’ at the mouth of the estuary with improved spatial and temporal resolution, and (3) the supply of basic data to improve the knowledge of exchange processes between estuarine and coastal waters. The results of this study are considered to be useful for the management of the estuarine system.